{"id":"W2583857364","doi":"10.1109/glocom.2016.7841556","title":"A Truthful Mechanism for Prioritized Medical Packet Transmissions in Beyond-WBANs","year":2016,"lang":"en","type":"article","venue":"","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer network; Computer science; Network packet; Queueing theory; Base station; Default gateway; Scheduling (production processes); Wireless; Gateway (web page); Transmission (telecommunications); Body area network; Channel (broadcasting); Telecommunications; Wireless sensor network; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008294011,0.0009290915,0.001233135,0.001183231,0.001411452,0.002843294,0.003990985,0.002064587,0.002454894],"category_scores_gemma":[0.01914946,0.0008454766,0.0007623777,0.0007473514,0.00208913,0.004773038,0.002305335,0.002545132,0.0003584913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00166569,"about_ca_system_score_gemma":0.002207046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001074359,"about_ca_topic_score_gemma":0.0007255382,"domain_scores_codex":[0.9956102,0.001508112,0.0003745092,0.0009658442,0.0009738047,0.0005676183],"domain_scores_gemma":[0.980503,0.01106482,0.003200373,0.002327313,0.002000255,0.0009041442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002121729,0.0007355838,0.004056728,0.0007821193,0.0003576627,0.001818173,0.002630566,0.2437075,0.06366768,0.5404757,0.005995428,0.1336513],"study_design_scores_gemma":[0.0001695763,0.0004181288,0.0004911339,0.00006940344,0.0001084098,0.000556885,0.0001542356,0.9141594,0.008454245,0.07149933,0.00381099,0.0001081962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03200607,0.0005406347,0.9634407,0.0008071529,0.000272617,0.000201568,0.0000507335,0.0005918037,0.002088629],"genre_scores_gemma":[0.9299933,0.0002962278,0.0671061,0.0004403717,0.0002892005,0.000142814,0.00003559142,0.00004961751,0.001646737],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008294011,"threshold_uncertainty_score":0.04386348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008188101285033991,"score_gpt":0.2248471527982346,"score_spread":0.2166590515132006,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}